Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by Thomas Jefferson PDC in partnership with Central Virginia Electric Co-op's Firefly.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by Southside PDC in partnership with Meckleburg Electric Co-op's EMPOWER Broadband.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by Giles County in partnership with Gigabeam.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by the Roanoke Valley Broadband Authority for their Catawba project.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by Giles County in partnership with Pemtel.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by Stafford County in partnership with Comcast.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by the LENOWISCO PDC in partnership with Scott County Telephone Cooperative.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by Floyd County in partnership with Citizens Telephone.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by the West Piedmont PDC in partnership with RiverStreet Networks for its eastern project area.

2013-2021 Virginia Population by Age by Language Spoken at Home by Ability to Speak English for the Population 5 years and over by Census Block Group. Contains estimates and margins of error.

U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table B16004
Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)

The United States Census Bureau's American Community Survey (ACS):
-What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html)
-Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html)
-Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.